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Detection of Electronic Devices Using FMCW Nonlinear Radar.
Cha, Kyuho; Oh, Sooyoung; Hong, Hayoung; Park, Hongsoo; Hong, Sun K.
Afiliação
  • Cha K; School of Electronic Engineering, Soongsil University, Dongjak-gu, Seoul 06978, Korea.
  • Oh S; School of Electronic Engineering, Soongsil University, Dongjak-gu, Seoul 06978, Korea.
  • Hong H; School of Electronic Engineering, Soongsil University, Dongjak-gu, Seoul 06978, Korea.
  • Park H; School of Electronic Engineering, Soongsil University, Dongjak-gu, Seoul 06978, Korea.
  • Hong SK; School of Electronic Engineering, Soongsil University, Dongjak-gu, Seoul 06978, Korea.
Sensors (Basel) ; 22(16)2022 Aug 15.
Article em En | MEDLINE | ID: mdl-36015845
ABSTRACT
Nonlinear radars can be utilized to detect electronic devices, which are difficult to detect with conventional radars due to their small radar cross sections (RCS). Since the receiver in a nonlinear radar is designed to only receive harmonic or intermodulated echoes from electronic devices, it is able to separate electronic devices from non-electronic scatters (clutter) by rejecting their echoes at fundamental frequencies. This paper presents a harmonic-based nonlinear radar scheme utilizing frequency-modulated continuous-wave (FMCW) signals for the detection of various electronic devices at short range. Using a laboratory experiment setup for FMCW radar at S-band for Tx (C-band for Rx), measurements are carried out to detect electronic devices of various sizes. The results show that the detection of small electronic devices is possible with nonlinear FMCW radar when appropriate system parameters are selected. Furthermore, we also discuss the maximum detectable range estimation for electronic targets using the radar range equation for FMCW nonlinear radar.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article